AI Tools Engineer Intern – Power Conversion & Storage

GE Vernova, Inc.

Town of Niskayuna (NY)

Hybrid

USD 46,000 - 91,000

Full time

8 days ago
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Benefits offered by this job

Relocation assistance provided
Housing allowance
Employee assistance program
Retirement savings plan

Job summary

GE Vernova, Inc. is seeking an Intern on the Power Conversion & Storage (PCS) Engineering team to support PCS New Product Introduction (NPI).

The role interfaces with GE Vernova AI solutions, application engineers, design engineers, and leadership to develop tools for GE Vernova products in the solar and energy storage lines. The intern will manage data flow for AI deployment, identify data needs, work with the AI Research Technology team, and help develop agents and templates, test AI tools,

Qualifications

  • Pursuing a Bachelor's Degree in CS or EE from an accredited college or university.

Responsibilities

  • Manage the data flow and infrastructure for AI deployment for Power Conversion & Storage products.
  • Identify and develop data collection, document formatting and template generation for AI tools used in engineering development.
  • Work with AI Research Technology team to identify data needed to tune the AI tool.
  • Collaborate with Engineers to develop agents and interface tools to meet NPI needs.
  • Test and program AI tools to validate their effectiveness.
  • Create and present training materials for the use of the AI tools created.

Skills

AI prompt engineering
Data workflow design
Communication skills
Team collaboration

Education

Bachelor's degree in Computer Science or Electrical Engineering
Enrolled in full-time degree program

Job description

GE Vernova, Inc. is seeking an Intern on the Power Conversion & Storage (PCS) Engineering team to support PCS New Product Introduction (NPI).

The role interfaces with GE Vernova AI solutions, application engineers, design engineers, and leadership to develop tools for GE Vernova products in the solar and energy storage lines. The intern will manage data flow for AI deployment, identify data needs, work with the AI Research Technology team, and help develop agents and templates, test AI tools,

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